Graduate Intern - Deep Learning in Protein Design

Manus • Waltham, MA

6h • Onsite

About The Position

Manus works across industries and value chains to accelerate the transition to BioAlternatives – better performing and more sustainable versions of complex molecules traditionally sourced from plants, animals, or fossil fuels. Our platform is proven to work across scales, bridging the Valley of Death between lab and manufacturing more efficiently and more reliably to deliver the benefits of synthetic biology today. We are seeking a Graduate Intern in Deep Learning for Protein Design to investigate key gaps in AI-guided protein engineering and explore novel approaches to address them. The ideal candidate has experience applying deep learning methods to biological problems, such as protein sequence design, structure prediction, or mutation effect modeling. This internship offers the opportunity to work at the intersection of machine learning and synthetic biology, contributing directly to scalable, real-world applications.

Requirements

• Currently enrolled in a Masters or PhD program in Computer Science or BioEngineering or similar programs with emphasis on AI applications in Biological systems
• Demonstrated experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries.
• Proficiency in programming languages such as Python and familiarity with AI-assisted coding tools (eg., Claude Code, Codex)
• Excellent verbal and written communication skills

Nice To Haves

• Familiarity with protein engineering (eg. Directed evolution, ML/AI-led)
• Familiarity with protein language models and similar transformer-based models
• Familiarity with benchmarking techniques and public datasets for protein sequence to function relationship
• Experience in industrial biotechnology or a related industry
• Must be very well-organized and be able to handle multiple projects simultaneously.
• Must be a quick learner who is self-motivated and able to ask questions and seek clarity.
• Must be flexible with day-to-day duties and able to thrive in a start-up environment.
• Must be an excellent team member with strong communication skills and a desire to work collaboratively.
• Must hold themselves to the highest professional, scientific and ethical standards.

Responsibilities

• Evaluating state-of-the-art deep learning models for mutation effect prediction and identify their limitations (eg. Epistasis, protein dynamics, etc)
• Drive exploratory research into potential avenues to fill gaps in DL-based approaches
• Communicate results and insights to multidisciplinary teams, including presentations and written reports

What This Job Offers

• Job Type: Full-time
• Career Level: Intern